DatriseAI-first ETL

Gong to Airtable Integration

AI-first ETL from Gong into Airtable. Governed entities, incremental sync, typed landing tables.

How Datrise loads Gong into Airtable

Datrise syncs Gong's calls, transcripts, deals, users, trackers, and call topics into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.

Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.

Ideal for operational workflows and light CRM views in Airtable.

Endpoints

Gong: Revenue intelligence from recorded sales calls.

Airtable: Relational spreadsheet destination for ops and go-to-market teams.

How Gong entities map to Airtable

Gong entityAirtable objectNotes
callsgong_callsid PK · custom fields → long-text JSON or linked records for nested data
transcriptsgong_transcriptsid PK · linked to gong_calls
dealsgong_dealsid PK · linked to gong_calls
usersgong_usersid PK · linked to gong_calls

FAQ

How does Datrise handle Gong's custom fields in Airtable?

Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.

How does the Gong to Airtable sync stay up to date?

It runs incrementally — Datrise uses upserts records matched on a stable id field.

Related pipelines

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